mirror of
https://github.com/ruvnet/RuView
synced 2026-07-23 17:33:20 +00:00
feat(adr-185): P4 benchmarks, examples, and README extras for the SOTA wheels
ADR-185 §4.2 pytest-benchmark micro-benchmarks + runnable examples +
README extras table for the aether/meridian/mat bindings.
- python/bench/test_bench_{aether,meridian,mat}.py — follow the existing
test_bench_vitals.py pattern (skipped by default; --benchmark-only).
- python/examples/{reid_from_csi,cross_room_calibrate,mat_triage}.py —
typed, runnable, mypy --strict clean.
- python/README.md — SOTA extras table + example links.
Measured on a RELEASE wheel (maturin develop --release --features sota),
reference machine per ADR-117 §10:
AETHER embed() mean ~150 us/window (target <2 ms) PASS
batch scaling 1/8/64: 140 / 1091 / 8509 us (linear, no O(n^2)) PASS
MERIDIAN normalize() mean ~2.2 us/frame (target <200 us) PASS
MERIDIAN encode() mean ~6.9 us (target <200 us) PASS
MAT ingest+scan_once() mean ~40 ms/256-frame (< 500 ms interval) PASS
Acceptance self-verification (ADR-185 §6), all run just now:
§6.1 default wheel 279 KB (<=5 MB); build_features has no p6-* feature PASS
§6.2 pytest tests/test_aether.py 9/9 PASS
§6.3 pytest tests/test_meridian.py 13/13 PASS
§6.4 pytest tests/test_mat.py 7/7 PASS
§6.5 benchmarks meet all targets (above) PASS
§6.6 parity harness: 3/3 SHA golden gates green (cargo test --features
sota, 6/6); CI *wiring* as a release gate is out of python/ scope PARTIAL
§6.7 SOTA accuracy bars on labeled fixtures: NOT met (no labeled
fixtures / trained models available; parity proves path-equality,
not accuracy) OPEN
§6.8 .pyi stubs present for all three; mypy --strict on the 3 examples PASS
§6.9 base wheel `import wifi_densepose.{aether,meridian,mat}` raises a
clear ImportError naming the extra PASS
No regression: 76 pre-existing tests pass on the default wheel.
Status NOT flipped to Accepted: §6.7 (accuracy bars) is unmet, §6.6 CI
wiring is pending, and the per-extra wheel-size hoists (sensing-server /
train / mat leaf crates) remain follow-ups. docs/adr/ is owned by another
agent this session, so the ADR ledger edit is deferred to that owner.
This commit is contained in:
@@ -0,0 +1,44 @@
|
||||
"""ADR-185 §4.2 — MAT scan micro-benchmark.
|
||||
|
||||
Measures the cost of one full ingest + `scan_once()` cycle over the
|
||||
committed 256-frame CSI stream. The per-cycle cost should stay comfortably
|
||||
below the configured scan interval (default 500 ms) so the binding is not
|
||||
the bottleneck.
|
||||
|
||||
Run with:
|
||||
pytest python/bench/test_bench_mat.py --benchmark-only
|
||||
|
||||
Validated on a RELEASE wheel; a debug wheel will be several× slower.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
from wifi_densepose import mat
|
||||
|
||||
_FIXTURE = Path(__file__).resolve().parents[1] / "tests" / "golden" / "mat_input.json"
|
||||
|
||||
|
||||
def _stream() -> list[dict]:
|
||||
return json.loads(_FIXTURE.read_text())["stream"]
|
||||
|
||||
|
||||
def test_scan_cycle_cost(benchmark) -> None:
|
||||
stream = _stream()
|
||||
|
||||
def _run() -> int:
|
||||
cfg = mat.DisasterConfig(
|
||||
mat.DisasterType.Earthquake, sensitivity=0.9, confidence_threshold=0.1
|
||||
)
|
||||
resp = mat.DisasterResponse(cfg)
|
||||
resp.initialize_event(0.0, 0.0, "bench")
|
||||
resp.add_zone(mat.ScanZone.rectangle("Zone A", 0.0, 0.0, 50.0, 30.0))
|
||||
for frame in stream:
|
||||
resp.push_csi_data(frame["amplitude"], frame["phase"])
|
||||
resp.scan_once()
|
||||
return len(resp.survivors())
|
||||
|
||||
survivors = benchmark(_run)
|
||||
assert survivors == 1
|
||||
Reference in New Issue
Block a user